Battery Ageing Monitoring Using Planned vs Actual Usage
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Solution Overview
Problem
Existing battery monitoring systems fail to accurately predict and adapt to actual usage deviations from planned usage, leading to unexpected deterioration and reduced service life in vehicle batteries.
Innovation Solution
A method for monitoring battery ageing by predicting expected and actual service life based on planned and operational data, generating notifications when deviations occur, and providing usage classifications to inform users on suitable actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the battery unit operates under actual usage conditions that differ from planned usage, then the battery unit can satisfy user needs and adapt to real-world scenarios, but the service life of the battery unit decreases and performance deteriorates faster than expected
Solution Approach 1:
The system performs preliminary classification of usage conditions into categories (e.g., mild, moderate, severe) and pre-determines corresponding service life values for each category. This allows the system to proactively adjust service life predictions based on actual usage patterns before significant degradation occurs, resolving the contradiction by preparing multiple service life scenarios in advance.
Solution Approach 2:
The system continuously monitors actual usage conditions, compares them against planned usage, and provides feedback by updating the service life prediction accordingly. This closed-loop feedback mechanism enables the system to adapt service life estimates in real-time based on deviations from planned usage, maintaining accuracy despite usage variations.
2Measurement precision
If traditional battery monitoring systems only track basic operational parameters, then the system complexity remains low, but the system cannot accurately predict service life or detect deviations from planned usage
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: a usage classification module that categorizes operating conditions, a service life determination module that maps classifications to service life values, and a comparison module that detects deviations. This segmentation allows the system to achieve high prediction accuracy through specialized functions while managing complexity through modular design.
Solution Approach 2:
The system changes the parameter being monitored from basic operational data alone to classified usage categories that directly correlate with service life. By transforming raw operational parameters into meaningful usage classifications (e.g., mild, moderate, severe), the system achieves accurate service life prediction without requiring complex analysis of every individual parameter.
3Loss of information
If the battery management system provides detailed usage classifications and service life predictions, then users can make informed decisions to extend battery life, but the loss of information processing and notification generation increases
Solution Approach 1:
The system extracts only the most critical information from complex usage data - specifically, the usage classification category and the corresponding service life prediction. By taking out only these essential elements and presenting them to the user through notifications, the system provides comprehensive decision-making support while minimizing information processing load and avoiding overwhelming the user with excessive details.
Data Source
AI summary
A method for monitoring battery ageing of a battery unit in an energy storage system of a vehicle or vessel. The method includes predicting an expected service life of the battery unit based on at least information relating to a planned usage of the battery unit, during usage of the battery unit, obtaining operational data relating to an actual usage of the battery unit, predicting an actual service life of the battery unit based on at least the obtained operational data, comparing the predicted actual service life with the predicted expected service life, thus obtaining a comparison result; determining whether a predetermined notification criterion is fulfilled based on the comparison result, generating a notification to a user of the battery unit at least if the predetermined notification criterion is fulfilled.